For Project $4,$ you will do another regression analysis based on stroke risk as you did in the Study Unit $8$ assignment. However, instead of creating three separate linear regressions, you will create one multiple regression, where the predictor variables are age, blood pressure and smoker status. The response variable is stroke risk. Develop your multiple regression using Python and sklearn and submit it in a jupyter notebook. Also, answer the following questions in a markdown block.

What is the score of your regression model?

What is the y$-$intercept, and what is the coefficient for each of the three predictor variables?

Are all three of the predictor variables significant? Use $5\%$ as a cutoff. Why or why not? You may wish to review the videos which cover Hypothesis Testing in Study Unit $7.$

Would your answer to #$4$ change if you were to use $1\%$ as a cutoff?